FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management, focusing on user needs and data-driven decision-making. Proficient in managing product roadmaps, stakeholder communication, and leveraging AI capabilities to enhance product offerings.
Highest-signal resume keywords
Product Management ExperienceAgile Delivery EnvironmentUser-Centric MindsetStakeholder ManagementAI Product Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product DiscoveryUser InterviewsProduct RequirementsAcceptance CriteriaProduct RoadmapsBacklog ManagementSuccess Metrics DefinitionWorkflow AutomationData AnalysisMarket Research
Soft Skills
Communication SkillsProblem-Solving AbilitiesFacilitation SkillsCollaborationUser Feedback Gathering
Tools & Technologies
SaaS ProductsData PlatformsAPIsGenerative AIResearch Technology
Industry Keywords
HealthcareLife SciencesComplianceGovernanceAuditability
About the role
Key responsibilities & impact- Lead product discovery activities to understand user needs, define problems, and identify improvement opportunities
- Conduct user interviews, map workflows, develop hypotheses, and validate solutions through evidence-based decision making
- Translate complex business and user challenges into product requirements, user stories, and acceptance criteria
- Own and maintain product roadmaps and prioritised backlogs
- Balance user value, business impact, effort, risk, and dependencies
- Partner with cross-functional teams throughout discovery, development, launch, and continuous improvement
- Define success metrics and measure product performance using adoption, usage, quality, and operational data
- Challenge feature requests by focusing on underlying user problems and desired outcomes
- Build understanding of users and operational workflows in research and healthcare environments
- Leverage user feedback, research, and data to inform product decisions
- Work with Engineering Leads, Software Engineers, AI Engineers, Architects, and Data Specialists to deliver scalable software solutions
- Contribute to products using modern technologies, APIs, data platforms, integrations, and AI capabilities
- Identify opportunities for AI and Generative AI to enhance, automate, or improve workflows
- Support responsible AI solutions considering quality, explainability, traceability, and human review
- Partner with technical and non-technical stakeholders on discovery, requirements, prioritisation, and trade-offs
- Communicate product direction, progress, and outcomes
- Deliver product demonstrations, presentations, and updates
- Maintain day-to-day collaboration with engineering teams and domain experts
Requirements
What you’ll need- Several years of experience in Product Management or a closely related role
- Experience as a Product Manager, Product Owner, Business Analyst, or similar product-focused professional
- Proven experience owning, managing, or significantly contributing to software products or major product capabilities
- Experience taking products or features through discovery, definition, prioritisation, development, launch, and iteration
- Experience working directly with engineering teams in an Agile delivery environment
- Strong experience managing product roadmaps and prioritised backlogs
- Ability to gather user feedback and translate insights into product decisions
- Experience measuring product adoption, user engagement, or business outcomes after launch
- Strong stakeholder management, communication, and facilitation skills
- User-centric mindset with excellent problem-solving abilities
- Healthcare, life sciences, healthcare data, market research, research technology, or related industry experience highly advantageous
- Quantitative and/or qualitative market research experience highly advantageous
- AI or Generative AI product development experience highly advantageous
- Experience with SaaS products, workflow automation platforms, enterprise software, or data platforms highly advantageous
- Experience in environments with governance, auditability, privacy, compliance, or regulatory requirements highly advantageous
Benefits
Comp & perks- Meaningful work supporting research and healthcare professionals
- Collaboration with multidisciplinary teams
- Opportunity to shape the future of AI-enabled solutions
- Empowerment to influence product direction and drive innovation